2016 NCWIT Collegiate Award Recipients
The NCWIT Collegiate Award honors the outstanding computing accomplishments of undergraduate and graduate women. Conferred annually, the award recognizes technical contributions to projects that demonstrate a high level of innovation and potential impact.
- Joy Buolamwini, Massachusetts Institute of Technology (MIT), "Bloomertech Smart Bra Mobile Application"
This mobile application project allows women to visualize and monitor their heart health across a range of physical activities, giving them the insight and information to detect early warning signs of cardiovascular problems. (View the project online.)
- Jasmine Collins, University of Pittsburgh, "Protein-Ligand Scoring Meets Machine Learning"
This project can provide a more efficient, cost-effective method for pharmaceutical drug discovery by providing predictions of protein-ligand interaction potency, which can lead to finding new therapeutics for cancer and neurodegenerative diseases. (View the project online.)
- Xyla Foxlin, Case Western Reserve University, "Parihug"
This pairable teddy bear lets individuals "hug" each other from anywhere in the world and allows children to continue learning how to develop relationships with their primary caregiver, even when that caregiver is away. (View the project online.)
- Rachel Holladay, Carnegie Mellon University, "Robot Gesture Engine (RoGuE)"
RoGuE is a motion-planning approach that enables robots to generate gestures across scenarios, which improve robot communication and partnership skills in human environments and collaborative settings. (View the project online.)
- Meenupriya Swaminathan, Northeastern University, "Intrabody Internet of Implantables and Wearables Using Galvanic Coupling"
This proposed technology allows implants to safely communicate wirelessly using the conduction properties of human body tissue, providing an energy efficient way to bridge the gap between the sensor and communication technologies. (View the project online.)
- Jenny Wang, Harvard University, "Fully Automated Computational Brain Image Segmentation for Cross-Modality Analysis of Neurodegenerative Diseases"
This project, which contributes directly to President Obama’s Brain Initiative, is an automatic brain image segmentation technique that allows for efficient and accurate brain modeling and analysis. (View the project online.)
Honorable mentions include:
- Elaina Cole, College of Charleston, "Engineering an Open Source Coordinate System Converter"
- Brittney English, Georgia Institute of Technology, "An Adaptive Robotic Tablet Gaming System for Post-Stroke Hand Function Rehabilitation"
- Kathryn Hodge, Vassar College, "30 Days of Code"
- Wei Low, Massachusetts Institute of Technology (MIT), "Kinecting with Robots: Integrating Data Flow Between the Microsoft Kinect 2.0 and ROS"
- Nichola Lubold, Arizona State University - Tempe, "A Social Voice-Adaptive Robotic Learning Companion"
- Kate Miller, University of Pennsylvania, "Neurosurgery Diary: Mobile Medical Records for Hydrocephalus Patients and Caregivers"
- Halima Olapade, Drexel University, "Diggly: Reading and Exploring Wikipedia Articles in Graph Form"
- Kate Park, Stanford University, "Uber: Keeping the Supply Engine Running"
- Alisha Saxena, Massachusetts Institute of Technology (MIT), "A Microprocessor Controlled Device with Cloud Connected Sensors to Improve Cardiovascular Health and Workout Efficacy"
- Farita Tasnim, Massachusetts Institute of Technology (MIT), "Ocean Wave Energy Harvesting"
- Stephanie Valentine, Texas A&M University - College Station, "KidGab: A Safe Social Networking Space for Kids to Practice Digital Friendship Skills"
- Irene Zhang, University of Washington - Seattle, "New OS Abstractions for Mobile/Cloud Application"